Last Updated: 10/25/2026 11:14 [UTC]

Torkoal

Tier D

VGC 2026 Regulation M-C (Pokemon Champions)

5.51%Usage Rate
49.43%Win Rate
11.90%Lead Rate
60.69%Selection Rate
1267Avg Rating

35819 recorded team appearances · 17707 wins · 18112 losses · 10/11/2026–10/25/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Eruption Recorded use in 11189 of 35823 distinct recorded team appearances (31.2%) 5929 winning team uses of 11189 recorded team uses
53.0%
Protect Recorded use in 5253 of 35823 distinct recorded team appearances (14.7%) 2158 winning team uses of 5253 recorded team uses
41.1%
Weather Ball Recorded use in 4260 of 35823 distinct recorded team appearances (11.9%) 2195 winning team uses of 4260 recorded team uses
51.5%
Heat Wave Recorded use in 3321 of 35823 distinct recorded team appearances (9.3%) 1581 winning team uses of 3321 recorded team uses
47.6%
Earth Power Recorded use in 2655 of 35823 distinct recorded team appearances (7.4%) 1172 winning team uses of 2655 recorded team uses
44.1%
Helping Hand Recorded use in 1897 of 35823 distinct recorded team appearances (5.3%) 898 winning team uses of 1897 recorded team uses
47.3%
Solar Beam Recorded use in 640 of 35823 distinct recorded team appearances (1.8%) 300 winning team uses of 640 recorded team uses
46.9%
Yawn Recorded use in 496 of 35823 distinct recorded team appearances (1.4%) 222 winning team uses of 496 recorded team uses
44.8%
Overheat Recorded use in 328 of 35823 distinct recorded team appearances (0.9%) 162 winning team uses of 328 recorded team uses
49.4%
Body Press Recorded use in 230 of 35823 distinct recorded team appearances (0.6%) 110 winning team uses of 230 recorded team uses
47.8%

Team win rate among recorded uses · bars centered at 50%

⚠️ Important Note:

  • This data shows moves actually recorded as used in battles, not move adoption rates in team building.
  • Each side counts once per battle for this Pokémon and move, even after repeated uses or duplicate saved records. Both teams in a mirror battle count separately.
  • The use proportion divides recorded team uses by this Pokémon's distinct recorded team appearances under the same period, format, rating and OTS filters. Win rate divides winning team uses by recorded team uses.
  • Unused moves, unselected Pokémon and missing or misattributed move records limit comparisons. Name and form resolution may omit or mix move records. No records do not imply a 0% win rate.
  • These team outcomes do not show that a move increases the chance of winning.
  • For moveset adoption rates, refer to Smogon Stats.

Usage Trend

Win Rate Trend

Usage by rating

Win rate by rating

Chart data
Trends
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
Period 1: 2026/10/11 11:01–2026/10/14 22:03 UTC 6.24 49.78 162620 10145 Observed
Period 2: 2026/10/14 22:03–2026/10/18 07:58 UTC 5.24 49.94 162618 8517 Observed
Period 3: 2026/10/18 07:58–2026/10/21 17:31 UTC 5.04 48.25 162618 8188 Observed
Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC 5.52 49.65 162618 8969 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1132 5.87 51.82 129866 7629 Observed
~R1209 5.93 49.39 129712 7690 Observed
~R1304 5.73 48.95 129444 7414 Observed
~R1406 5.18 48.02 130156 6737 Observed
R1406~ 4.84 48.70 131296 6349 Observed

Torkoal Observed Statistics

Performance Metrics

Torkoal has a reported usage rate of 5.51% and win rate of 49.43% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: D). The report covers 10/11/2026 to 10/25/2026 (UTC), with 325,237 recorded battles. 17,707 wins and 18,112 losses (35,819 recorded team appearances). Usage is recorded team appearances divided by twice the report battle count; win rate is wins divided by wins plus losses for teams containing this Pokemon. Neither metric measures individual strength. Small samples can produce extreme percentages.

Usage Trends

Usage was 6.24% in the first available period (Period 1: 2026/10/11 11:01–2026/10/14 22:03 UTC; n=162,620 team slots) and 5.52% in the last available period (Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC; n=162,618 team slots), a change of -0.72 percentage points. This endpoint comparison does not describe every intervening period or explain the cause; small samples can fluctuate substantially. Periods without sample counts are excluded. Win rate was 49.78% in the first available period (Period 1: 2026/10/11 11:01–2026/10/14 22:03 UTC; n=10,145 recorded appearances) and 49.65% in the last available period (Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC; n=8,969 recorded appearances), a change of -0.13 percentage points. This endpoint comparison does not describe every intervening period or explain the cause; small samples can fluctuate substantially. Periods without sample counts are excluded.

Rating-band Observations

Across 5 available rating bands, usage ranged from 4.84% (R1406~; n=131,296 team slots) to 5.93% (~R1209; n=129,712 team slots), a spread of 1.09 percentage points. Overall usage was 5.51%. Bands use battle-average ratings, not individual player skill. Missing bands are excluded; differences are descriptive, not evidence of statistical significance.

Recorded Moves

Among the returned moves, Eruption has the largest recorded team-use count (11,189; ties may occur). Move counts refer to distinct team appearances with a recorded use by this Pokemon, counting each side once per battle. The displayed percentage divides that count by this Pokemon's distinct recorded team appearances under the same report filters. Both sides of a mirror battle count separately. This is not moveset adoption. Unused moves and missing move records cannot be distinguished here. These data do not establish which move is strongest or underused.

Teammate Observations

In the returned frequent-teammate sample: Farigiraf: 50.3% wins in 15,232 recorded pair observations; Indeedee-F: 50.6% wins in 14,161 recorded pair observations; Sneasler: 50.7% wins in 8,242 recorded pair observations. These are team-level outcomes with both Pokemon on the roster, not a measurement of synergy. Other teammates, player selection and small samples can affect these percentages.

Opponent-team Observations

Returned higher-win-rate opponent group: Absol: 56.8% wins in 646 recorded pair observations; Clefable: 56.8% wins in 548 recorded pair observations; Kangaskhan: 56.3% wins in 428 recorded pair observations. Returned lower-win-rate opponent group: Armarouge: 41.8% wins in 1,588 recorded pair observations; Tyranitar: 42.3% wins in 3,394 recorded pair observations; Excadrill: 42.6% wins in 2,408 recorded pair observations. Wins refer to the team containing the focal Pokemon when the named Pokemon was on the opposing roster. They are not direct one-on-one results or proof of a counter; sample sizes and other team members matter.

Interpretation Limits

These summaries describe the collected battles within the report period. Team composition, player selection, repeated players and incomplete records can affect results. Differences do not establish causation, statistical significance or a recommended build.

The groups below summarize recorded team outcomes. Partner and opponent win rates do not measure synergy or direct one-on-one matchups. Small samples and other team members can affect results.

Frequent Partners

Most common teammates · bars centered at 50%

Farigiraf
Farigiraf15232 recorded pair observations · 4.68 pair observations per 100 analyzed battles
50.3%
Indeedee-F
Indeedee-F14161 recorded pair observations · 4.35 pair observations per 100 analyzed battles
50.6%
Sneasler
Sneasler8242 recorded pair observations · 2.53 pair observations per 100 analyzed battles
50.7%
Kingambit
Kingambit7262 recorded pair observations · 2.23 pair observations per 100 analyzed battles
50.5%
Incineroar
Incineroar6873 recorded pair observations · 2.11 pair observations per 100 analyzed battles
50.1%
Garchomp
Garchomp6822 recorded pair observations · 2.10 pair observations per 100 analyzed battles
49.7%
Venusaur
Venusaur4751 recorded pair observations · 1.46 pair observations per 100 analyzed battles
50.5%
Gardevoir
Gardevoir4481 recorded pair observations · 1.38 pair observations per 100 analyzed battles
52.3%
Sylveon
Sylveon4457 recorded pair observations · 1.37 pair observations per 100 analyzed battles
49.5%
Hatterene
Hatterene4432 recorded pair observations · 1.36 pair observations per 100 analyzed battles
50.8%
Rillaboom
Rillaboom4222 recorded pair observations · 1.30 pair observations per 100 analyzed battles
50.1%
Armarouge
Armarouge3612 recorded pair observations · 1.11 pair observations per 100 analyzed battles
51.8%
Mawile
Mawile3491 recorded pair observations · 1.07 pair observations per 100 analyzed battles
51.6%
Golisopod
Golisopod3185 recorded pair observations · 0.98 pair observations per 100 analyzed battles
50.5%
Whimsicott
Whimsicott2738 recorded pair observations · 0.84 pair observations per 100 analyzed battles
47.9%
Pyroar
Pyroar2281 recorded pair observations · 0.70 pair observations per 100 analyzed battles
50.1%
Blaziken
Blaziken2247 recorded pair observations · 0.69 pair observations per 100 analyzed battles
50.7%
Charizard
Charizard2108 recorded pair observations · 0.65 pair observations per 100 analyzed battles
47.8%
Sinistcha
Sinistcha2024 recorded pair observations · 0.62 pair observations per 100 analyzed battles
43.9%
Basculegion
Basculegion1963 recorded pair observations · 0.60 pair observations per 100 analyzed battles
49.3%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom11302 recorded pair observations · 3.48 pair observations per 100 analyzed battles
50.2%
Sneasler
Sneasler10735 recorded pair observations · 3.30 pair observations per 100 analyzed battles
49.9%
Incineroar
Incineroar9742 recorded pair observations · 3.00 pair observations per 100 analyzed battles
48.4%
Garchomp
Garchomp9391 recorded pair observations · 2.89 pair observations per 100 analyzed battles
48.3%
Archaludon
Archaludon6940 recorded pair observations · 2.13 pair observations per 100 analyzed battles
46.0%
Raichu
Raichu6550 recorded pair observations · 2.01 pair observations per 100 analyzed battles
49.5%
Indeedee-F
Indeedee-F6413 recorded pair observations · 1.97 pair observations per 100 analyzed battles
48.3%
Kingambit
Kingambit6152 recorded pair observations · 1.89 pair observations per 100 analyzed battles
50.1%
Farigiraf
Farigiraf5995 recorded pair observations · 1.84 pair observations per 100 analyzed battles
47.7%
Charizard
Charizard5990 recorded pair observations · 1.84 pair observations per 100 analyzed battles
46.2%
Pelipper
Pelipper5932 recorded pair observations · 1.82 pair observations per 100 analyzed battles
46.5%
Golisopod
Golisopod5158 recorded pair observations · 1.59 pair observations per 100 analyzed battles
47.4%
Gholdengo
Gholdengo4861 recorded pair observations · 1.49 pair observations per 100 analyzed battles
49.0%
Whimsicott
Whimsicott4206 recorded pair observations · 1.29 pair observations per 100 analyzed battles
53.1%
Basculegion
Basculegion4141 recorded pair observations · 1.27 pair observations per 100 analyzed battles
51.0%
Salamence
Salamence3853 recorded pair observations · 1.18 pair observations per 100 analyzed battles
47.3%
Tyranitar
Tyranitar3394 recorded pair observations · 1.04 pair observations per 100 analyzed battles
42.3%
Sinistcha
Sinistcha3378 recorded pair observations · 1.04 pair observations per 100 analyzed battles
51.4%
Volcarona
Volcarona3354 recorded pair observations · 1.03 pair observations per 100 analyzed battles
50.5%
Milotic
Milotic3073 recorded pair observations · 0.94 pair observations per 100 analyzed battles
45.9%

Higher Win-rate Partners

Returned teammates above the focal Pokemon's overall win rate · bars centered at 50%

Floette-Eternal
Floette-Eternal978 recorded pair observations · 0.30 pair observations per 100 analyzed battles
54.7%
Slowbro
Slowbro441 recorded pair observations · 0.14 pair observations per 100 analyzed battles
54.2%
Primarina
Primarina1278 recorded pair observations · 0.39 pair observations per 100 analyzed battles
53.2%
Blastoise
Blastoise1134 recorded pair observations · 0.35 pair observations per 100 analyzed battles
53.1%
Gallade
Gallade1243 recorded pair observations · 0.38 pair observations per 100 analyzed battles
52.9%
Staraptor
Staraptor1757 recorded pair observations · 0.54 pair observations per 100 analyzed battles
52.9%
Politoed
Politoed665 recorded pair observations · 0.20 pair observations per 100 analyzed battles
52.5%
Gardevoir
Gardevoir4481 recorded pair observations · 1.38 pair observations per 100 analyzed battles
52.3%
Crabominable
Crabominable715 recorded pair observations · 0.22 pair observations per 100 analyzed battles
51.9%
Armarouge
Armarouge3612 recorded pair observations · 1.11 pair observations per 100 analyzed battles
51.8%

Lower Win-rate Partners

Returned teammates below the focal Pokemon's overall win rate · bars centered at 50%

Pincurchin
Pincurchin461 recorded pair observations · 0.14 pair observations per 100 analyzed battles
41.4%
Maushold
Maushold584 recorded pair observations · 0.18 pair observations per 100 analyzed battles
42.3%
Malamar
Malamar393 recorded pair observations · 0.12 pair observations per 100 analyzed battles
43.3%
Sinistcha
Sinistcha2024 recorded pair observations · 0.62 pair observations per 100 analyzed battles
43.9%
Slurpuff
Slurpuff920 recorded pair observations · 0.28 pair observations per 100 analyzed battles
44.2%
Sableye
Sableye571 recorded pair observations · 0.18 pair observations per 100 analyzed battles
44.3%
Volcarona
Volcarona368 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.3%
Baxcalibur
Baxcalibur436 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.7%
Chandelure
Chandelure1026 recorded pair observations · 0.32 pair observations per 100 analyzed battles
45.1%
Lopunny
Lopunny550 recorded pair observations · 0.17 pair observations per 100 analyzed battles
45.1%

Higher Win-rate Opponent Teams

Returned opponents above the focal Pokemon's overall win rate · bars centered at 50%

Absol
Absol646 recorded pair observations · 0.20 pair observations per 100 analyzed battles
56.8%
Clefable
Clefable548 recorded pair observations · 0.17 pair observations per 100 analyzed battles
56.8%
Kangaskhan
Kangaskhan428 recorded pair observations · 0.13 pair observations per 100 analyzed battles
56.3%
Ninetales-Alola
Ninetales-Alola1193 recorded pair observations · 0.37 pair observations per 100 analyzed battles
56.0%
Talonflame
Talonflame927 recorded pair observations · 0.29 pair observations per 100 analyzed battles
55.7%
Dragapult
Dragapult908 recorded pair observations · 0.28 pair observations per 100 analyzed battles
55.6%
Lucario
Lucario1081 recorded pair observations · 0.33 pair observations per 100 analyzed battles
55.2%
Gallade
Gallade546 recorded pair observations · 0.17 pair observations per 100 analyzed battles
55.0%
Maushold
Maushold747 recorded pair observations · 0.23 pair observations per 100 analyzed battles
54.9%
Grapploct
Grapploct451 recorded pair observations · 0.14 pair observations per 100 analyzed battles
54.3%

Lower Win-rate Opponent Teams

Returned opponents below the focal Pokemon's overall win rate · bars centered at 50%

Armarouge
Armarouge1588 recorded pair observations · 0.49 pair observations per 100 analyzed battles
41.8%
Tyranitar
Tyranitar3394 recorded pair observations · 1.04 pair observations per 100 analyzed battles
42.3%
Excadrill
Excadrill2408 recorded pair observations · 0.74 pair observations per 100 analyzed battles
42.6%
Primarina
Primarina1731 recorded pair observations · 0.53 pair observations per 100 analyzed battles
44.4%
Swampert
Swampert1627 recorded pair observations · 0.50 pair observations per 100 analyzed battles
44.9%
Basculegion-F
Basculegion-F1509 recorded pair observations · 0.46 pair observations per 100 analyzed battles
45.2%
Venusaur
Venusaur2648 recorded pair observations · 0.81 pair observations per 100 analyzed battles
45.7%
Milotic
Milotic3073 recorded pair observations · 0.94 pair observations per 100 analyzed battles
45.9%
Archaludon
Archaludon6940 recorded pair observations · 2.13 pair observations per 100 analyzed battles
46.0%
Sylveon
Sylveon2919 recorded pair observations · 0.90 pair observations per 100 analyzed battles
46.0%